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Located in the heart of Philadelphia, Drexel University is a world‐class, comprehensive, R1 research institution and a global leader in experiential education. For more than 100 years, our renowned Cooperative Education (co-op) program has enabled students to gain professional work experience before they graduate, setting them apart from their peers.

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Drexel offers its highly engaged faculty and professional staff a comprehensive and world‐class benefits package that includes generous vacation and paid time off as applicable (including civic engagement days), up to an 11% 403(b) Retirement Plan match with immediate vesting, and remote and flexible work options for many roles. Our exceptional medical plans include domestic partner and fertility assistance and our award‐winning A Healthier U wellness program. In addition, faculty and professional staff at Drexel enjoy free tuition for themselves and their dependents for Drexel degree programs, certification, and non‐certification programs. And as part of the tuition offering to employees, Drexel participates in a tuition exchange program for dependents with other higher education institutions. These are just a sample of our extensive benefit offerings. Please see this Benefits Brochure for more information.

Data Analyst

Apply now Job no: 503445
Work type: Full-Time
Location: University City - Philadelphia, PA
Categories: Drexel University, College of Engineering

Job Summary

The Data Analyst is a research fellow position. The Data Analyst will perform data analytics and apply machine learning algorithms as a research assistant in the principal investigator's research group.

The Data Analyst will learn and apply state-of-the-art python-based machine learning and computer vision algorithms for autonomous driving systems technology. They will also assist in general office/administrative tasks and likely engage in other activities outside of this role aimed at developing their knowledge of stakeholder management and reporting, professional confidence, technical sophistication, and other project management-related skill.

Essential Functions

  • Manage the datasets related to the operation of the AVS, such as multivariate time series and video frames. The datasets come from a variety of sensors, such as LiDAR, RADAR, stereoscopic cameras, GPS, battery consumption, and more.
  • Perform descriptive statistics and exploratory analysis of the datasets using python and R, and/or other computing environments, as needed.
  • Develop codes in python and R (and/or other computing environments) to extract meaningful information from the datasets as described in the project’s contract.
  • Use of machine-learning and computer vision algorithms on video frames for object detection, classification, and tracking.
  • Incorporate into the project’s codes traditional and state-of-the-art machine-learning algorithms for condition monitoring, anomaly detection, and fault classification.
  • Maintain the project’s codes through a version-control system (such as GitHub).
  • Prepare summarized reports from the results of the analyzed data.
  • Perform quantitative statistical analyses using R, on responses to a survey related to the project.

Required Qualifications

  • Bachelor’s degree in computer science, data science, mechanical engineering or other relevant field
  • At least 1.5 years of relevant experience

Preferred Qualifications

  • Excellent programming skills in Python, R, Matlab or other programming language
  • Experience with machine learning algorithms and computer vision

Physical Requirements

  • Typically sitting at a desk/table

Location

  • University City – Philadelphia, PA

Additional Information

This is a full-time temporary position classified as non-exempt.  The pay offered is based on the successful candidate’s qualifications and experience, department budget, and an internal equity review. 

For information about benefits, please review Drexel’s Per Diem/Casual/Temporary Benefit Fact Sheet.

Special Instructions to the Applicant

Please make sure you upload your CV/resume and cover letter when submitting your application.

A review of applicants will begin once a suitable candidate pool is identified.

 

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